The impact of an aircraft's service environment on perceptions of in-flight food quality

Airlines are currently striving to improve the quality and quantity of in-flight food, because research has shown that catering is a key attribute for a customer's satisfaction with airline service quality. But the role of an airline's service environment in forming customer perceptions about food quality has not yet been properly investigated. Using electronic word-of-mouth data from N = 3996 airline passengers, this study deploys a linear regression model at multiple levels to relate perceived in-flight food quality with both the overall service environment and its formative components. The results clearly unveil the importance of an aircraft's service environment on perceived in-flight catering quality; perceptions of food quality are primarily influenced by the quality of cabin staff service, followed by entertainment and seat quality. Instead of continuing with the current practice of signing up top chefs to improve menus, airlines may instead consider putting their management focus on service improvements.     

Prioritization of aircraft maintenance unit strategies using fuzzy Analytic Network Process: A case study

In this paper, a new methodology for prioritizing strategies using an integrated approach of fuzzy Multiple Criteria Decision Making (MCDM) is proposed. A case study in an aircraft maintenance unit showed that the “Financial” criterion and the sub-criterion of “Competitiveness and Improving Customer Satisfaction” (with weights of 0.3108 and 0.84, respectively) were the most critical ones. Due to the internal relations between the criteria and sub-criteria in the fuzzy MCDM and the opinions of the experts of the aircraft maintenance unit, the weights of the main criteria obtained were closer to the actual conditions.     

Istanbul Airport (IGA) and quest of best competitive strategy for air cargo carriers in new competition environment: A fuzzy multi-criteria approach

Our paper determines the best competitive strategy that can be implemented by existing and potential air cargo carriers in the Turkish Air Cargo Industry with the operationalization of Istanbul Airport (IGA) and reveals the competitiveness level of the industry for four bases. We look at the competitiveness levels by analyzing the competitive environment of the industry nationally and internationally both before and post IGA (estimated). We use fuzzy TOPSIS (FTOPSIS) based on the Fuzzy AHP (FAHP) to handle vagueness, which is inherent in the nature of new competition conditions integrating the framework of Porter's five forces analysis. In our study, we use the five forces as our main criteria (with a total of 19 sub-criteria) and the competitive strategies as our alternatives. Our results reveal that the cost-focused strategy is the best competitive strategy that can be implemented by existing and potential carriers in the industry. Another significant result underscores the fact that IGA increases the competitiveness level of the Turkish Air Cargo Industry both nationally and internationally to a fairly high level. Also, the threat of potential competitors is first among the five forces in the industry's new conditions. Our study fills the gap in the literature on the effects of major structural changes in an air cargo industry on the competition among carriers.     

The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective

The objective of this study is to examine the impact of service quality by adopting AIRQUAL model and price on passengers' loyalty through the linkage of passengers' satisfaction toward low-cost airlines from the perspective of Southeast Asia. With 200 questionnaires analyzed, the results suggest that service quality and price have a positive significant impact on passenger satisfaction, and as a result lead to passengers’ loyalty. Besides, the findings of this research also confirm the mediating role of customer satisfaction between service quality and loyalty, price and loyalty separately, which implies that customer satisfaction is a vital factor for an LCCs to survive in such a highly competitive aviation market.     

Selecting container port via a fuzzy ANP-based approach: A case study in the Marmara Region,Turkey

In this case study, a real world problem of a production firm in the Marmara Region, Turkey was considered. In the current situation, the firm works with different third-party logistics firms and uses different ports each time. However, they have some quality problems and decided to work with a logistics firm by using the most convenient port alternative. A number of conflicting qualitative and quantitative criteria exist for evaluating alternative ports. Qualitative criteria are often accompanied by ambiguities and vagueness. To cope with this problem, the fuzzy analytic network process (FANP) method is used in this study. First, we defined the region specific criteria consisting of the twenty sub-criteria under the six main criteria clusters that influence the selection of container port. Then seven alternative container ports located in the Marmara Sea were determined. The results showed that the most convenient district for the container port is Istanbul District, which is one of the biggest economical centers in Eastern Europe.     

Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily

In this paper a new approach was proposed so as to comparatively evaluate the quality of service alternatives. In particular, a fuzzy extension of the ServPerf service conceptual model was considered to estimate quality scores of fundamental service criteria, whereas the non-compensative multi-criteria decision-making ELECTRE III method was employed to point out the quality ranking of service alternatives on the basis of which the comparative service quality analysis was performed. In order to show the effectiveness of the proposed approach, an empirical study concerning service quality evaluation of the three international airports in Sicily (Italy) was conducted with detailed proposals for passenger service improvement. The results showed that only few key service aspects played a focal role in quality airport service. Moreover, the effects on the evaluation of service quality, arising from customers' uncertainties, were computed, thus demonstrating the effectiveness of the proposed approach.     

An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry

Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.     

A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP

Today, airline companies have to provide digital products and services to ensure customer satisfaction. Accordingly, classical service quality models are not sufficient to capture customer expectations, and new digital service quality (DSQ) models should emerge. This study aims to propose a new and genuine DSQ model. The proposed model consists of digital tangibles, reliability, digital interaction, digital trust, and customer-centricity dimensions; and 35 criteria related to them. Importance degrees of criteria are determined with the IVIF AHP method. The validity of the proposed model is verified, employing a real case concerning the Turkish airline industry. The results show that the most significant dimension is digital trust, and the three most important criteria are proactive customer service, cybersecurity, and customer insight.     

Examining airline service quality from a process perspective

Airline service is composed of a set of processes. Passengers may have distinct expectations at different stages of the service chain. In this study, air travel was divided into ground and in-flight service stages. We first examined the gap between passengers’ service expectations and actual service received and the gaps associated with passenger service expectations and the perceptions of these expectations by frontline managers and employees of a Taiwanese airline. Next, importance–performance analysis was used to construct service attribute evaluation maps to identify areas for improvement. Results revealed that these gaps did exist and passengers were more concerned about the responsiveness and assurance dimensions from airline frontline staff. The tangibles dimension was considered more important when evaluating in-flight service quality than when evaluating ground service quality.     

Service quality and price perception of service: Influence on word-of-mouth and revisit intention

Drawing on an overarching framework of marketing theory, this study develops and tests an integrated model of service quality that explicates the affective mechanisms through which service quality is associated with price perception of service (e.g., monetary price and behaviour price), word of mouth (WOM) and revisit intention. In a sample of 484 low-cost airline passengers, we found service quality to be related to increased price perception of service as a result of increasing passengers' WOM, which also creates success in this regard by increasing their revisit intention. Moreover, it is not surprising that there was a positive relationship between service quality and WOM mediated by perceived value of monetary price. The theoretical and empirical implications of these results are discussed.     

Detecting passengers' heterogeneity on airlines’ services using SP data

In this paper, the heterogeneity in passengers' perceptions of airlines' services has been investigated by using a Random Parameter Mixed logit model. To calibrate and validate the proposed model, data from a Stated Preferences choice experiments was used. The survey was conducted online and involved the whole population of the University of Calabria (Italy). The experiments were designed by considering the main service attributes characterizing air travellers’ experience in its entirety: before, during, and after the flight. Differently from the previous studies using Stated Preferences survey, two different groups of choice experiments were designed: the former referring to before/after the flight stages, and the last referring to during the flight experience. For each group, specific attributes were considered.Final findings remark that flyers' perceptions on airline's services vary among the different service aspects and among individuals. Specifically, we found that curtesy of cabin crew, space available, temperature, cleanliness, service on board and ticket cost are attributes referring to the during the flight stage of the travel that showed heterogeneity in passenger's perceptions. On the contrary, the attributes referring to the before/after the flight stages for which we detected heterogeneity in passengers' perceptions are waiting time at check-in, delay of flight departure, and ticket cost.     

A novel interval-valued fuzzy MCDM method for improving airlines’ service quality in Chinese cross-strait airlines

This paper presents an effective approach based on combining VIKOR, GRA, and interval-valued fuzzy sets to evaluate service quality of Chinese cross-strait passenger airlines via customer surveys. The proposed approach can enable decision-makers to understand the gaps between alternatives and aspired levels. An empirical study is used to establish a complete service quality evaluation framework for reducing the gaps to achieve the aspired level. Based on the gaps in priorities, it can help an airline to identify its own strengths and weaknesses in specific areas of passenger service to further improve service quality.     

Evaluation of passenger satisfaction with service quality: A consecutive method applied to the airline industry

Passengers' dissatisfaction with service quality is one of the crucial factors affecting the market share loss of airlines. This study aims to find out how airlines become capable of satisfying their passengers by considering the diversity of pre-purchase expectations. Therefore, the study proposes a novel model for clustering air passengers to identify passengers with similar expectations. Thus, the passengers' expectations of the service quality attributes in each cluster were measured and converted into quantitative degrees of customer satisfaction by applying the Kano model. Finally, Importance-Satisfaction Analysis (ISA) was employed to finding that which service quality indicators fall into the “Keep up the proper work”,” Concentrate here”,” Possible overkill”, and “Low priority” category for eliciting applicable marketing strategies.     

Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis

This paper investigates influential factors in passengers' intercity multimodal choice behaviors in a touristy city. By collecting large individual-level data through a comprehensive field survey that was carried out at the major transportation hubs in Xi'an, China, we studied four travel modes of the surveyed travelers in this touristy city, including air, high-speed rail, traditional passenger train, and express bus. For factor analysis, 12 variables, including not only individual-related attributes but also ticketing methods and mental perceptions, were used as the independent factors after the correlation analysis and collinearity test. The regression relationships between the travel mode choice and the independent variables were studied using Bayesian multinomial logistic regression. The results indicate that those 12 factors have significant and various influences on passengers' mode choices. In particular, travel distance, fare rate, intercity travel time per hundred kilometers, quality of service, accessibility of transportation hubs, and ticketing methods have influential contributions for explaining the choice decision-makings. The findings demystify the effects of several unexplored factors in intercity multimodal travel choice behaviors and shed new light on formulating traffic management strategies for service providers and decision-makers in practice.     

Analyzing passengers’ emotions following flight delays- a 2011–2019 case study on SKYTRAX comments

The text mining technology enables researchers or enterprises to automatically and efficiently access the information in text comments. This paper obtains 24,165 reviews from SKYTRAX between September 2011 and March 2019, 5700 of which express that passengers had experienced flight delays. It uses sentiment analysis based on a sentiment dictionary to classify user reviews and uses co-occurrence analysis to identify passengers' concerns on different aspects of service in the aviation industry. The results of the user sentiment analysis show that there is a significant and negative correlation between the user's emotions and their flight delay experiences. After flight delay, passengers' attention to the service aspects has increased, while satisfaction with the airport service has dropped dramatically. This paper shed some new light on public opinion about flight delays.     

Exploring the green image of airlines: Passenger perceptions and airline choice

During the last few years there has been an increasing trend for companies to market their products or services as green or environmentally friendly as part of their corporate social responsibility. Few studies have analyzed the effects of this recent focus on the environment and its impact on airline passengers. Therefore, we examine passengers' general attitudes towards the green image of different airlines, perceived differences in eco-friendliness among these airlines, and effects on airline choice during booking. We also investigate how passengers' recent experiences with an airline affect perceived eco-friendliness of that airline. In addition we compare passenger ratings of airline eco-friendliness to those published by independent 3rd parties. Our findings show that the green image of airlines does influence airline choice during booking. We observed a passenger willingness to pay extra for a green image, however, not as much as their willingness to pay extra for amenities, such as additional legroom.     

Assessing the effects of perceived value (utilitarian and hedonic) in LCCs and FSCs: Evidence from South Korea

In the airline industry, passengers choose and buy service based on their perception of which airline delivers better value. Thus, it is important to compare two types of airlines, Low Cost Carriers (LCCs) and Full Service Carriers (FSCs), to measure how much their product or service is worth and the effect of perceived value on passengers' purchase decisions. This study examined the relationship between perceived value, satisfaction, and purchase intention in both FSCs and LCCs. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were performed for data analysis. Our findings reveal that passenger satisfaction in LCCs is affected by hedonic value and utilitarian value, but passengers' future purchase intention is not dependent on satisfaction even when passengers are satisfied. In FSCs, moreover, utilitarian value is not a significant factor for satisfaction and purchase intention. This research provides implications for airline marketers and directions for future research.     

Digital competency evaluation of low-cost airlines using an integrated IVIF AHP and IVIF VIKOR methodology

Recently, low-cost airline (LCA) companies have become more attractive. However, emerging digital technologies have transformed the passengers’ profiles. Digital competency has become a crucial matter to capture digital passenger expectations. Hence, the purpose of the study is to introduce a new digital competency evaluation (DCE) model. The proposed model comprises technology transformation & implementation, and also transformation & adaptation management dimensions, with ten criteria and thirty sub-criteria. Criteria weights are calculated using the IVIF AHP method. The results show that the most significant dimension is transformation and adaptation management. The most digitally competent airline is selected through the IVIF VIKOR method. A case study concerning the LCAs is conducted in Turkey to verify the validity of the proposed model.     

The effect of frequent flyer programs: A case study of the Korean airline industry

Frequent flyer programs are important for airlines in Korea in their marketing of services. This paper develops a conceptual model to investigate the effect of such programs by examining the relationships them and, airline service quality, pricing, passenger satisfaction, airline image, and airline selection. Path analysis is used to analyze data collected from Korean international air passengers. The results show that frequent flyer programs have direct and indirect effects on pricing, passenger satisfaction, airline image, and airline selection. In addition, their effects on passengers' selections are significantly different between Korean and foreign airlines.     

Traveler satisfaction in rapid rail systems: The case of Istanbul metro

Multifaceted characteristics of urban travel have an impact on the passengers' overall satisfaction with the transport system. In this study, we investigate the interrelationships among traveler satisfaction, travel and traveler characteristics, and service performance in a multimodal network that comprises of a trunk line and its feeder lines. We analyze the factors influencing the choices of access to rail transit stations and the satisfaction of transit travelers with the rapid rail transit systems. We quantitatively study these relationships and demonstrate the complexity of evaluating transit service performance. Since the interrelationships among variables affecting this system are mainly stochastic, we analyze the satisfaction with transit system problem using a Bayesian Belief Network (BBN), which helps capture the causality among variables with inherent uncertainty. Using the case of Istanbul, we employ the BBN as a decision support tool for policy-makers to analyze the rapid rail transit services and determine policies for improving the quality and the level of service to increase the satisfaction with transit system. In the case study, satisfaction with accessibility and access mode variables are found to be more effective variables than total travel time for travel time satisfaction, confirming the significant role of access in multimodal travels.